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WITH cs_ui AS (
SELECT
cs_item_sk AS cs_item_sk,
SUM(cs_ext_list_price) AS sale,
SUM(cr_refunded_cash + cr_reversed_charge + cr_store_credit) AS refund
FROM catalog_sales, catalog_returns
WHERE
cs_item_sk = cr_item_sk AND cs_order_number = cr_order_number
GROUP BY
cs_item_sk
HAVING
SUM(cs_ext_list_price) > 2 * SUM(cr_refunded_cash + cr_reversed_charge + cr_store_credit)
), cross_sales AS (
SELECT
i_product_name AS product_name,
i_item_sk AS item_sk,
s_store_name AS store_name,
s_zip AS store_zip,
ad1.ca_street_number AS b_street_number,
ad1.ca_street_name AS b_street_name,
ad1.ca_city AS b_city,
ad1.ca_zip AS b_zip,
ad2.ca_street_number AS c_street_number,
ad2.ca_street_name AS c_street_name,
ad2.ca_city AS c_city,
ad2.ca_zip AS c_zip,
d1.d_year AS syear,
d2.d_year AS fsyear,
d3.d_year AS s2year,
COUNT(*) AS cnt,
SUM(ss_wholesale_cost) AS s1,
SUM(ss_list_price) AS s2,
SUM(ss_coupon_amt) AS s3
FROM store_sales, store_returns, cs_ui, date_dim AS d1, date_dim AS d2, date_dim AS d3, store, customer, customer_demographics AS cd1, customer_demographics AS cd2, promotion, household_demographics AS hd1, household_demographics AS hd2, customer_address AS ad1, customer_address AS ad2, income_band AS ib1, income_band AS ib2, item
WHERE
ss_store_sk = s_store_sk
AND ss_sold_date_sk = d1.d_date_sk
AND ss_customer_sk = c_customer_sk
AND ss_cdemo_sk = cd1.cd_demo_sk
AND ss_hdemo_sk = hd1.hd_demo_sk
AND ss_addr_sk = ad1.ca_address_sk
AND ss_item_sk = i_item_sk
AND ss_item_sk = sr_item_sk
AND ss_ticket_number = sr_ticket_number
AND ss_item_sk = cs_ui.cs_item_sk
AND c_current_cdemo_sk = cd2.cd_demo_sk
AND c_current_hdemo_sk = hd2.hd_demo_sk
AND c_current_addr_sk = ad2.ca_address_sk
AND c_first_sales_date_sk = d2.d_date_sk
AND c_first_shipto_date_sk = d3.d_date_sk
AND ss_promo_sk = p_promo_sk
AND hd1.hd_income_band_sk = ib1.ib_income_band_sk
AND hd2.hd_income_band_sk = ib2.ib_income_band_sk
AND cd1.cd_marital_status <> cd2.cd_marital_status
AND i_color IN ('gainsboro', 'light', 'drab', 'steel', 'misty', 'powder')
AND i_current_price BETWEEN 58 AND 58 + 10
AND i_current_price BETWEEN 58 + 1 AND 58 + 15
GROUP BY
i_product_name,
i_item_sk,
s_store_name,
s_zip,
ad1.ca_street_number,
ad1.ca_street_name,
ad1.ca_city,
ad1.ca_zip,
ad2.ca_street_number,
ad2.ca_street_name,
ad2.ca_city,
ad2.ca_zip,
d1.d_year,
d2.d_year,
d3.d_year
)
SELECT
cs1.product_name,
cs1.store_name,
cs1.store_zip,
cs1.b_street_number,
cs1.b_street_name,
cs1.b_city,
cs1.b_zip,
cs1.c_street_number,
cs1.c_street_name,
cs1.c_city,
cs1.c_zip,
cs1.syear,
cs1.cnt,
cs1.s1 AS s11,
cs1.s2 AS s21,
cs1.s3 AS s31,
cs2.s1 AS s12,
cs2.s2 AS s22,
cs2.s3 AS s32,
cs2.syear,
cs2.cnt
FROM cross_sales AS cs1, cross_sales AS cs2
WHERE
cs1.item_sk = cs2.item_sk
AND cs1.syear = 2001
AND cs2.syear = 2001 + 1
AND cs2.cnt <= cs1.cnt
AND cs1.store_name = cs2.store_name
AND cs1.store_zip = cs2.store_zip
ORDER BY
cs1.product_name,
cs1.store_name,
cs2.cnt,
cs1.s1,
cs2.s1;
Step details
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Green: scan · yellow: join · purple: row movement. Rows and costs are optimiser estimates; costs use model units.